Handling multi-dimensional complex queries in key-value data stores-Reference-Cited by-同舟云学术

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Handling multi-dimensional complex queries in key-value data stores

Published:2017-06 Issue: Volume:66 Page:82-96
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Sun Hailong^ORCID,Tang Yu,Wang Qi,Liu Xudong

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference49 articles.

1. Hyperdex: A distributed, searchable key-value store;Escriva,2012

2. Mapreduce: simplified data processing on large clusters;Dean;Commun. ACM,2008

3. Efficient analytics on ordered datasets using mapreduce;Yin,2013

4. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing;Zaharia,2012

5. Md-hbase: a scalable multi-dimensional data infrastructure for location aware services;Nishimura,2011

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1. Prefetched wald adaptive boost classification based Czekanowski similarity MapReduce for user query processing with bigdata;Distributed and Parallel Databases;2021-01-05

2. The Big Data Research Ecosystem;Research Anthology on Artificial Intelligence Applications in Security;2021

3. Multi-keyword score threshold and B+ tree indexing based top-K query retrieval in cloud;Peer-to-Peer Networking and Applications;2019-07-31

4. Query optimization mechanisms in the cloud environments: A systematic study;International Journal of Communication Systems;2019-03-12

5. The Big Data Research Ecosystem;Big Data Governance and Perspectives in Knowledge Management;2019

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